Evaluation of Upper Airway in Children with Obstructive Sleep Apnea Using Cone-Beam Computed Tomography

Explainable artificial intelligence to quantify adenoid hypertrophy-related upper airway obstruction using 3D Shape Analysis

OBJECTIVES

To develop and validate an explainable Artificial Intelligence (AI) model for classifying and quantifying upper airway obstruction related to adenoid hypertrophy using three-dimensional (3D) shape analysis of cone-beam computed tomography (CBCT) scans.

METHODS

400 CBCT scans of patients aged 5-18 years were analyzed. Nasopharyngeal airway obstruction (NAO) ratio was calculated to label scans into four grades of obstruction severity, used as the ground truth. Upper airway surface meshes were used to train a deep learning model combining multiview and point-cloud approaches for 3D shape analysis and obstruction severity classification and quantification. Surface Gradient-weighted Class Activation Mapping (SurfGradCAM) generated explainability heatmaps. Performance was evaluated using area under the curve (AUC), precision, recall, F1-score, mean absolute error, root mean squared error, and correlation coefficients.

RESULTS

The explainable AI model demonstrated strong performance in both classification and quantification tasks. The AUC values for the classification task ranged from 0.77 to 0.94, with the highest values of 0.88 and 0.94 for Grades 3 and 4, respectively, indicating excellent discriminative ability for identifying more severe cases of obstruction. The SurfGradCAM-generated heatmaps consistently highlighted the most relevant regions of the upper airway influencing the AI's decision-making process. In the quantification task, the regression model successfully predicted the NAO ratio, with a strong correlation coefficient of 0.854 (p < 0.001) and R2= 0.728, explaining a substantial proportion of the variance in NAO ratios.

CONCLUSIONS

The proposed explainable AI model, using 3D shape analysis, demonstrated strong performance in classifying and quantifying adenoid hypertrophy-related upper airway obstruction in CBCT scans.

CLINICAL SIGNIFICANCE

This AI model provides clinicians with a reliable, automated tool for standardized adenoid hypertrophy assessment. The model's explainable nature enhances clinical confidence and patient communication, potentially improving diagnostic workflow and treatment planning.

Minimal to Mean Airway Area Ratio of the Pharynx: A Novel Predictor of Pediatric Obstructive Sleep Apnea in Three-Dimensional Imaging

OBJECTIVE

Reliable variables for detecting pediatric obstructive sleep apnea (OSA) using three-dimensional (3D) imaging are currently lacking. This study aimed to develop a novel predictor of OSA in children.

STUDY DESIGN

Prospective study.

SETTING

Tertiary care children's hospital.

METHODS

Pediatric patients (<18 years) with symptoms suggestive of OSA were enrolled. Polysomnography was used to categorize disease severities as primary snoring (apnea-hypopnea index, AHI < 1), mild OSA (AHI = 1-5), moderate OSA (AHI = 5-10), and severe OSA (AHI > 10). Cone-beam computed tomography was used to obtain 3D images. The minimal to mean airway area (AA) ratio was measured across the entire pharynx and its segment (nasopharynx, oropharynx, and hypopharynx).

RESULTS

The study included 104 children. For the entire pharynx, the minimal to mean AA ratio was 0.41, 0.36, 0.35, and 0.25 in the primary snoring, mild OSA, moderate OSA, and severe OSA groups, respectively (P = .001). Pearson's correlation revealed an inverse relationship between the minimal to mean AA ratio and OSA severity. The receiver operating characteristic curve identified the optimal cutoff point for predicting AHI ≥ 1 as 0.34 in the oropharynx (area under the curve [AUC] = 71%) and 0.39 in the entire pharynx (AUC = 67%). The minimal to mean AA ratio in the nasopharynx or hypopharynx indicated no significant difference between OSA severities.

CONCLUSION

A minimal to mean airway AA ratio of less than one-third in the pharynx serves as a novel predictor of pediatric OSA in 3D imaging.

Three-dimensional cone beam computed tomography analysis of craniofacial phenotype in nonobese apneic young adults

Objective

The obstructive sleep apnea (OSA) syndrome with its various phenotypes, as assessed by the apnea-hypopnea index (AHI), has become a major public health issue. While physicians are regularly faced with a variety of patients with OSA complaints, they may not be aware that OSA in nonobese young adults remains a largely underinvestigated topic. It is hypothesized that, in these subjects, facial bone volumes are smaller than in healthy adults.

Methods

This cross-sectional, nonrandomized, controlled study was designed to compare the 3D cephalometric analysis of bone and craniofacial soft tissues in a group of 23 nonobese apneic (AHI ≥ 15), young (18-35 years) adults and in a control group of 23 nonapneic (AHI < 15) healthy subjects by using cone beam computed tomography (CBCT). All subjects were Caucasian and underwent a sleep examination in the Sleep Clinic of the University Hospital of Liege.

Results

The two groups were comparable except for age and medications. The maxillary bone volume (23.2 ± 4.6 cm3 vs. 24.8 ± 2.9 cm3) and the mandibular bone volume (44.0 ± 6.4 cm3 vs. 46.9 ± 5.2 cm3) adjusted for demographic and biometric characteristics were significantly smaller in OSA subjects than in controls. OSA subjects had also a smaller angle of the maxillary diagonals (95.3 ± 13.9° vs. 106 ± 15.9°) and, at the mandible, a narrower width (90.8 ± 8.0 mm vs. 95.1 ± 5.3 mm), a wider gonial angle (119.9 ± 5.5° vs. 116.5 ± 4.4°), a longer ramus (51.2 ± 6.6 mm vs. 47.3 ± 5.0 mm), and a shorter corpus (74.1 ± 10.3 mm vs. 78.9 ± 5.8 mm) than controls.

Conclusion

Craniofacial structures that most discerned apneic subjects from controls were the maxillary and mandible bone volumes. An overly narrow maxilla and a postero-rotating mandible were also associated with OSA.

Level of Evidence

III.

Registration

NCT06022679.

The relationship between upper airway parameters and COVID-19 symptom severity in adolescents

Background

COVID-19 is a respiratory disease, and its symptoms may be affected by the upper airways of adolescents.

Objective

To investigate the effect of parameters of adolescents' upper airways on COVID-19 symptom severity.

Methods

This retrospective study was performed from January to March 2022 at the Hospital of Stomatology, Xi'an Jiaotong University, Xi'an, China. The inclusion criteria were patients who started orthodontic treatment for the first time, who experienced initial onset of laboratory-confirmed COVID-19, and who received two intramuscular doses of the SARS-CoV-2 vaccine. Participants' COVID-19 symptom severity was recorded by a questionnaire including seven different dimensions. The three-dimensional parameters of the upper airway were obtained by cone beam computed tomography (CBCT) and measured by Dolphin Imaging software by blinded orthodontic investigators. The correlation between COVID-19 symptom severity and three-dimensional upper airway parameters was analyzed.

Results

64 males (46.4%) and 74 females (53.6%) were included in the study, with the median age of 9.5 years. The severity score of dimension 3 (headache, muscle pain, fatigue, shortness of breath, diarrhea and smell affects) showed a linear relationship with age. Spearman's rank correlation showed that the severity score of dimension 1 (nasal symptoms) was negatively correlated with nasal volume (r = -0.325). The severity score of dimension 6 was negatively correlated with the height of the nasopharynx (r = -0.325) and positively correlated with the horizontal-to-vertical ratio of the oropharynx (r = 0.385).

Conclusions and relevance

The COVID-19 symptom severity was aggravated with the increase of age. Nasal and throat pain and dry mouth was negatively correlated with nasal volume and nasopharyngeal height. The COVID-19 symptom severity among individuals is relavant to age and upper airway.

Evaluating Positional Obstructive Sleep Apnea in Children: Prevalence, Characteristics, and Risk Factors

Purpose

This study investigates the prevalence, risk factors, and clinical characteristics of positional obstructive sleep apnea (POSA) among pediatric patients diagnosed with obstructive sleep apnea (OSA).

Patients and Methods

A total of 1,236 children aged 0 to 17 years who underwent nocturnal polysomnography (PSG) and completed the Sleep Questionnaire were included. After excluding those with an AHI <1, neurological or muscular disorders, or insufficient sleep time in specific positions, 908 patients remained: 158 with POSA and 750 with non-positional OSA (NPOSA). Propensity score matching (PSM) was applied at a 1:2 ratio, resulting in a final sample of 153 POSA and 306 NPOSA patients. Data analyses were performed using R software (version 4.2.3).

Results

The prevalence of POSA was 12.8%. After PSM, patients with POSA had a lower overall AHI (8.66 vs 10.30), REM-AHI (14.30 vs 17.40), and NREM-AHI (7.43 vs 8.77) compared to those with NPOSA. POSA patients also had a shorter total sleep time (411 vs 427 minutes), spent less time in the supine position (168 vs 225 minutes), and more time in non-supine positions (241 vs 202 minutes) than NPOSA patients. Additionally, while the supine AHI was higher in POSA patients (15.60 vs 10.30), the non-supine AHI was lower (5.00 vs 11.00) compared to NPOSA patients. The minimum oxygen saturation was slightly higher in POSA patients (0.88 vs 0.87). All differences were statistically significant (P < 0.05). Risk factors for POSA included mild OSA, allergic rhinitis, non-allergic rhinitis, and obesity.

Conclusion

The prevalence of POSA in children is lower than in adults, and its severity is less than that of NPOSA. Compared to NPOSA patients, POSA patients had significantly higher AHI during supine sleep and lower AHI during non-supine sleep. POSA patients also spent more time in non-supine positions, suggesting that avoiding supine sleep may help reduce apnea events. These findings highlight the importance of monitoring and managing sleep posture in POSA patients.

Efficacy of adenotonsillectomy on pediatric obstructive sleep apnea and related outcomes: A narrative review of current evidence

This review summarizes the current evidence in systematic reviews, meta-analysis and randomized controlled trials regarding adenotonsillectomy outcomes in pediatric obstructive sleep apnea (OSA). Adenotonsillectomy is effective in treating OSA in children without co-morbidities, despite postoperative residual OSA remained in roughly half of these children. For children with comorbidities such as Down syndrome, Prader-Willi syndrome, sickle cell disease, or cerebral palsy, adenotonsillectomy is less effective and associated with more postoperative complications than that in children without comorbidities. For other OSA-related outcomes, evidence from meta-analyses and randomized controlled trials confirm adenotonsillectomy results in improvement of subjective OSA-related outcomes (e.g. symptoms, behaviors, and quality of life), but the results in objective OSA-related outcomes (e.g. cardiometabolic parameters or neurocognitive functions) are inconsistent. Future studies should focus on randomized controlled trials comparing objective OSA-related outcomes and the long-term effects of adenotonsillectomy in children with OSA.

Three-Dimensional Assessment of Upper Airway Volume and Morphology in Patients with Different Sagittal Skeletal Patterns

BACKGROUND

The relationship between respiratory function and craniofacial morphology has garnered significant attention due to its implications for upper airway and stomatognathic development. Nasal breathing plays a key role in craniofacial growth and dental positioning. This study investigated upper airway morphology and volume differences among individuals with class I, II, and III skeletal anomalies.

METHODS

Ninety orthodontic patients' CBCT scans were analyzed to assess the oropharynx and hypopharynx volumes. Skeletal diagnosis was established based on the cephalometric analysis.

RESULTS

A significant volume change in the oropharynx and pharynx was demonstrated when comparing class II with class III anomalies (p = 0.0414, p = 0.0313). The total volume of the pharynx was increased in class III anomalies. The area of the narrowest part of the pharynx (MIN-CSA) significantly decreased in classes I and II compared to class III (p = 0.0289, p = 0.0003). Patients with Angle class III anomalies exhibited higher values in the narrowest pharyngeal segment. Gender differences were significant in pharyngeal volumes and morphologies across malocclusion classes.

CONCLUSIONS

The narrowest segment of the pharynx had the highest values in patients with Angle class III. The volume of the oropharynx was found to be greater in patients with Angle class III versus patients with Angle class II.

Assessment of Internal Nasal Dimensions of Individuals With Cleft Lip and Palate and Obstructive Sleep Apnea Syndrome by Computed Tomography

To evaluate nasal cavity (NC) dimensions of individuals with cleft lip and/or palate (CL/P), obstructive sleep apnea (OSA), and primary snoring, by tomographic image analysis, compared to individuals with OSA without CL/P (N-CL/P).

Cross-sectional and retrospective.

Tertiary referral center.

Patients were divided into 2 groups: (G1) CL/P + OSA or primary snoring, n = 11; (G2) N-CL/P + OSA, n = 13.

NC tomographic images were reconstructed using ITK-SNAP software, and measurements were obtained from these three-dimensional models using SpaceClaim software.

Total NC volumes, right and left NC volumes, and volumes of the nostril to the nasal valve (V1) and from the nasal valve to the superior limit of the nasopharynx (V2), cross-sectional areas, and perimeters.

NC volumes (total, right, and left sides), V1, and V2, though smaller in the CL/P + OSA, did not differ significantly from the N-CL/P + OSA. Cross-sectional areas and perimeters of the superior limit of the nasopharynx, in the CL/P + OSA, presented significantly higher values compared to the N-CL/P + OSA (P ≤ .05).

The internal nasal dimensions of patients with CL/P do not seem to be part of the etiopathogenesis, nor constitute a risk factor for OSA with greater severity, in this special group of patients.

Modified biblock versus monoblock mandibular advancement appliances for treatment of obstructive sleep apnea: A randomized controlled trial

STATEMENT OF PROBLEM

The high prevalence of obstructive sleep apnea represents a serious public health problem. Oral appliances have gained wide acceptance among patients diagnosed with obstructive sleep apnea, who should wear them every night. A comfortable oral appliance is mandatory for successful treatment outcomes.

PURPOSE

The purpose of this randomized controlled trial was the assessment of the influence of 2 different designs of the mandibular advancement appliance (MAA), modified biblock and monoblock, for the management of obstructive sleep apnea.

MATERIAL AND METHODS

The study was designed as a prospective 2-arm randomized controlled clinical trial conducted in parallel. Twenty participants (aged 40 ±7.5 years) diagnosed with moderate obstructive sleep apnea were randomly assigned to a control group (n=10), receiving monoblock MAA, and a study group (n=10), receiving modified biblock MAA with elastics. Both appliances were fabricated by using computer-aided design and computer-aided manufacture (CAD-CAM) technology at different mandibular advancement levels (MALs): 50% and 75% of maximum MAL. A total of 60 cone beam computed tomography scans, 60 overnight full polysomnography sleep tests, 60 STOP-Bang questionnaires, and 40 Usability of Sleep Apnea Equipment-Oral Appliance (USE-OA) questionnaires were collected and analyzed blindly at baseline (initial visit), 50% MAL (3 months), and 75% MAL (6 months). The main outcome measures were the upper airway volume, linear anteroposterior and cross-sectional airway measurements, Apnea Hypopnea Index, Respiratory Disturbance Index, STOP-Bang questionnaire scoring, and USE-OA questionnaire scoring. Nonparametric statistical analysis was performed by using a statistical software program (α=.05). With a beta error accepted of up to 20%, the power of the study was 80%.

RESULTS

At 75% MAL, the percentage change in upper airway volumetric measurements showed a favorable increase: biblock group (115%) and monoblock group (42%), with a statistically significant difference (P=.001). The linear anteroposterior airway measurements and the percentage change in cross-sectional airway measurements were statistically similar: biblock group (80%) and (75%) monoblock group (60%), (54%) (P=.450, P=.151, respectively). The percentage change in the Apnea Hypopnea Index significantly decreased: biblock group (-89%) and monoblock group (-54%) (P<.001). The percentage change in the Respiratory Disturbance Index decreased: biblock group (-78%) and monoblock group (-62%) (P<.023). From the STOP-Bang questionnaire scoring, 100% of both groups showed low risk for obstructive sleep apnea at 75% MAL. From the satisfaction scoring on the USE-OA questionnaire, the biblock group was 100% strong satisfaction and the monoblock group was 50% satisfaction and 50% fairly satisfied.

CONCLUSIONS

The modified biblock MAA with elastics showed significant improvements in patients diagnosed with obstructive sleep apnea regarding upper airway measurements and full polysomnography vital parameters when compared with monoblock MAA.

The use of CBCT in orthodontics with special focus on upper airway analysis in patients with sleep-disordered breathing

Applications of cone-beam CT (CBCT) in orthodontics have been increasingly discussed and evaluated in science and practice over the last two decades. The present work provides a comprehensive summary of current consolidated practice guidelines, cutting-edge innovative applications, and future outlooks about potential use of CBCT in orthodontics with a special focus on upper airway analysis in patients with sleep-disordered breathing. The present scoping review reveals that clinical applications of CBCT in orthodontics are broadly supported by evidence for the diagnosis of dental anomalies, temporomandibular joint disorders, and craniofacial malformations. On the other hand, CBCT imaging for upper airway analysis-including soft tissue diagnosis and airway morphology-needs further validation in order to provide better understanding regarding which diagnostic questions it can be expected to answer. Internationally recognized guidelines for CBCT use in orthodontics are existent, and similar ones should be developed to provide clear indications about the appropriate use of CBCT for upper airway assessment, including a list of specific clinical questions justifying its prescription.

Computational fluid dynamics study in children with obstructive sleep apnea

OBJECTIVES

This study aims to identify characteristics in image-based computational fluid dynamics (CFD) in children with obstructive sleep apnea (OSA).

DESIGN

Diagnostic study.

SETTING

Hospital-based cohort.

PARTICIPANTS

Children with symptoms suggestive of OSA were recruited and underwent polysomnography.

MAIN OUTCOME MEASURES

Three-dimensional models of computational fluid dynamics were derived from cone-beam computed tomography.

RESULTS

A total of 68 children participated in the study (44 boys; mean age: 7.8 years), including 34 participants having moderate-to-severe OSA (apnea-hypopnea index [AHI] greater than 5 events/h), and 34 age, gender, and body mass index percentile matched participants having primary snoring (AHI less than 1). Children with moderate-to-severe OSA had a significantly higher total airway pressure (166.3 vs. 39.1 Pa, p = .009), total airway resistance (9851 vs. 2060 Newton-metre, p = .004) and velocity at a minimal cross-sectional area (65.7 vs. 8.8 metre per second, p = .017) than those with primary snoring. The optimal cut-off points for moderate-to-severe OSA were 46.2 Pa in the total airway pressure (area under the curve [AUC] = 73.2%), 2373 Newton-metre in the total airway resistance (AUC = 72.5%) and 12.6 metres per second in the velocity at a minimal cross-sectional area (AUC = 70.5%). The conditional logistic regression model revealed that total airway pressure, total airway resistance and velocity at minimal cross-sectional area were significantly associated with an increased risk of moderate-to-severe OSA.

CONCLUSIONS

This study demonstrates that CFD could be a useful tool for evaluating upper airway patency in children with OSA.

Automatic detection of adenoid hypertrophy on cone-beam computed tomography based on deep learning

INTRODUCTION

This study proposed an automatic diagnosis method based on deep learning for adenoid hypertrophy detection on cone-beam computed tomography.

METHODS

The hierarchical masks self-attention U-net (HMSAU-Net) for segmentation of the upper airway and the 3-dimensional (3D)-ResNet for diagnosing adenoid hypertrophy were constructed on the basis of 87 cone-beam computed tomography samples. A self-attention encoder module was added to the SAU-Net to optimize upper airway segmentation precision. The hierarchical masks were introduced to ensure that the HMSAU-Net captured sufficient local semantic information.

RESULTS

We used Dice to evaluate the performance of HMSAU-Net and used diagnostic method indicators to test the performance of 3D-ResNet. The average Dice value of our proposed model was 0.960, which was superior to the 3DU-Net and SAU-Net models. In the diagnostic models, 3D-ResNet10 had an excellent ability to diagnose adenoid hypertrophy automatically with a mean accuracy of 0.912, a mean sensitivity of 0.976, a mean specificity of 0.867, a mean positive predictive value of 0.837, a mean negative predictive value of 0.981, and a F1 score of 0.901.

CONCLUSIONS

The value of this diagnostic system lies in that it provides a new method for the rapid and accurate early clinical diagnosis of adenoid hypertrophy in children, allows us to look at the upper airway obstruction in three-dimensional space and relieves the work pressure of imaging doctors.

Measurements of craniofacial morphology using photogrammetry in children with sleep-disordered breathing

OBJECTIVE

To assess the craniofacial morphology in children with sleep-disordered breathing (SDB) using nonradiation and readily accessible photogrammetry technique.

METHODS

Included children aged 3-18 years with SDB-related symptoms from April 2019 to February 2020 in a tertiary center. All participants underwent craniofacial photogrammetry and overnight polysomnography (PSG). Participants were stratified into 2 groups (obstructive sleep apnea [OSA] group: apnea-hypopnea index [AHI] ≥ 1 and non-OSA group: AHI <1). Craniofacial photogrammetry was performed to derive variables of craniofacial features in standardized frontal and profile views. The 2 groups were propensity score matched based on age, sex, and body mass index (BMI) percentiles. Associations between craniofacial feature variables and OSA (AHI ≥1) likelihood were examined using logistic regression test. intraclass correlation coefficient (ICC) was used to evaluate the intrarater and interrater reliability.

RESULTS

In total, 58 children were enrolled for the analysis after matching. All 3 variables representing the mandibular plane angle in the profile view were increased in the OSA group (mego-tn: 34.85 ± 5.99 vs 31.65 ± 5.96°, odds ratio [OR]: 1.10, 95% CI:1.02 to 1.18, P = .01; tn-gogn: 28.65 ± 6.38 vs 25.91 ± 5.38°, OR: 1.08, 95% CI:1.02 to 1.15, P = .012; and gome-tsup: 26.71 ± 6.13 vs 22.20 ± 5.89°, OR: 1.13, 95% CI:1.04 to 1.23, P = .003).

CONCLUSIONS

Craniofacial photogrammetry revealed increased mandibular inclination in children with OSA. A steep mandibular plane with craniofacial photogrammetry is considered a potential predictor of pediatric OSA. Further investigation with a large sample size is required to clarify the validity of photogrammetry in evaluating pediatric OSA.

Recent advances in paediatric sleep disordered breathing

This article reviews the latest evidence pertaining to childhood sleep disordered breathing (SDB), which is associated with negative neurobehavioural, cardiovascular and growth outcomes. Polysomnography is the accepted gold standard for diagnosing SDB but is expensive and limited to specialist centres. Simpler tests such as cardiorespiratory polygraphy and pulse oximetry are probably sufficient for diagnosing obstructive sleep apnoea (OSA) in typically developing children, and new data-processing techniques may improve their accuracy. Adenotonsillectomy is the first-line treatment for OSA, with recent evidence showing that intracapsular tonsillectomy results in lower rates of adverse events than traditional techniques. Anti-inflammatory medication and positive airway pressure respiratory support are not always suitable or successful, although weight loss and hypoglossal nerve stimulation may help in select comorbid conditions.

Educational aims

To understand the clinical impact of childhood sleep disordered breathing (SDB).To understand that, while sleep laboratory polysomnography has been the gold standard for diagnosis of SDB, other diagnostic techniques exist with their own benefits and limitations.To recognise that adenotonsillectomy and positive pressure respiratory support are the mainstays of treating childhood SDB, but different approaches may be indicated in certain patient groups.

Age- and gender-related characteristics in pediatric obstructive sleep apnea

BACKGROUND

Age and gender disparities in polysomnographic findings in children are not well understood.

OBJECTIVE

This study determined age and gender-related characteristics in pediatric obstructive sleep apnea (OSA).

METHOD

Retrospectively, data were collected. We analyzed polysomnographic data in the following age groups: 3-6 years (n = 681), 6-9 years (n = 553), 9-12 years (n = 297), 12-15 years (n = 200), and 15-18 years (n = 111).

RESULTS

A total of 1842 children were included (mean age: 8.0 years; boys: 67%; obesity: 21%). The apnea-hypopnea index (AHI) gradually increased with age (3-6, 6-9, 9-12, 12-15, and 15-18 years groups: 6.2, 5.9, 6.5, 8.1, and 9.9 event/h, respectively; p trend = 0.002). In all age groups, boys had a higher AHI than girls (7.8 vs. 4.1 events/h, p < 0.001). Children with obesity had a higher AHI than those without (12.9 vs. 4.9 events/h, p < 0.001). The mean AHI in the boys increased with age (3-6 to 15-18 years groups: 7.0-13.6 events/h, respectively; p trend < 0.001), whereas the mean AHI in the girls was not significantly different between ages (p trend = 0.492). In moderation analyses, gender was a moderator in the association between obesity and AHI, and the association between age and AHI during 12-15 and 15-18 years of ages.

CONCLUSION

Male gender and obesity increase risk of OSA. Regarding age disparities, this study discovered a higher AHI in male adolescents than in young boys.

A 3D CBCT Analysis of Airway and Cephalometric Values in Patients Diagnosed with Juvenile Idiopathic Arthritis Compared to a Control Group

Introduction: The temporomandibular joint (TMJ) is affected in 30–45% of juvenile idiopathic arthritis (JIA) patients, with all JIA subtypes at risk for TMJ involvement. JIA patients with TMJ involvement may present with altered craniofacial morphology, including micrognathia, mandibular retrognathia, a hyperdivergent mandibular plane angle, and skeletal anterior open bite. These features are also commonly present and associated with non-JIA pediatric patients with obstructive sleep apnea (OSA). Materials and Methods: The study was comprised of a group of 32 JIA patients and a group of 32 healthy control subjects. CBCT images were taken for all patients and were imported into Dolphin Imaging software. The Dolphin Imaging was used to measure the upper airway volumes and the most constricted cross-sectional areas of each patient. Cephalometric images were rendered from the CBCT data for each patient, and the following cephalometric values were identified: SNA angle, SNB angle, ANB angle, anterior facial height (AFH), posterior facial height (PFH), mandibular plane angle (SN-MP), FMA (FH-MP), overjet (OJ), and overbite (OB). Airway volumes, the most constricted cross-sectional area values, and cephalometric values were compared between the JIA and control groups. Results: For airway values, statistically significant differences were seen in the nasopharynx airway volume (p = 0.004), total upper airway volume (p = 0.013), and the most constricted cross-sectional area (p = 0.026). The oropharynx airway volume was not statistically significant (p = 0.051). For cephalometric values, only the posterior facial height showed a statistically significant difference (p = 0.024). Conclusions: There was a significant difference in airway dimensions in the JIA patients as compared to the control patients. In addition, the posterior facial dimensions seem to be affected in JIA patients. The ODDs ratio analysis further corroborated the findings that were significant.